Articles | Volume 22, issue 7
https://doi.org/10.5194/nhess-22-2401-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-2401-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Predicting drought and subsidence risks in France
Arthur Charpentier
CORRESPONDING AUTHOR
Department of Mathematics, UQAM, Université du Québec à Montréal, Montréal (Quebec), Canada
Molly James
EURo Institut d'Actuariat (EURIA), Université de Bretagne Occidentale, Brest, France
Hani Ali
Gallagher Re, Neuilly-Sur-Seine, France
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Cited
16 citations as recorded by crossref.
- Drought propagation in karst and non-karst regions in Southwest China compared on a daily scale P. Shi et al. 10.1016/j.ejrh.2023.101628
- Correlation Analysis of Vertical Ground Movement and Climate Using Sentinel-1 InSAR F. Pirotti et al. 10.3390/rs16224123
- Forecasting land surface drought in urban environments based on machine learning model J. Chen & H. Zheng 10.1016/j.scs.2024.106048
- How abrupt changes in surface temperature impacts water cycle over France? The case study of winter bread wheat area. L. Laurent et al. 10.1016/j.totert.2023.100079
- Applying an Analytic Hierarchy Process and a Geographic Information System for Assessment of Land Subsidence Risk Due to Drought: A Case Study in Ca Mau Peninsula, Vietnam D. Tri et al. 10.3390/su16072920
- Machine learning-based techniques for land subsidence simulation in an urban area J. Liu et al. 10.1016/j.jenvman.2024.120078
- Development of Divergence and Interdependence-based Hybrid Weighting Scheme (DIHWS) for accurate assessment of regional drought A. Mukhtar et al. 10.1007/s00704-024-05018-1
- A novel clay shrink-swell buildings damage model: From unstructured insurance data to the creation of buildings database, and the proposition of damage severity scale N. Mzungu et al. 10.1016/j.ijdrr.2025.105636
- Regional climate warming increases occurrence and intensity of winter wheat drought risk L. Laurent et al. 10.1016/j.agrformet.2025.110493
- Assessing the economic impact of droughts in Europe in a changing climate: A multi-sectoral analysis at regional scale C. Motta et al. 10.1016/j.ejrh.2025.102296
- Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran H. Gharechaee et al. 10.3390/land12040843
- Changing Conditions: Global Warming-Related Hazards and Vulnerable Rural Populations in Mediterranean Europe S. Graus et al. 10.3390/urbansci8020042
- A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France: advantages of the interactive leaf area index S. Barthelemy et al. 10.5194/nhess-24-999-2024
- Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data G. Ecoto et al. 10.1007/s00180-024-01549-3
- Application of machine learning methods to predict drought cost in France A. Heranval et al. 10.1007/s13385-022-00327-z
- Disentangling Shallow Subsidence Sources by Data Assimilation in a Reclaimed Urbanized Coastal Plain, South Flevoland Polder, the Netherlands M. Verberne et al. 10.1029/2022JF007031
14 citations as recorded by crossref.
- Drought propagation in karst and non-karst regions in Southwest China compared on a daily scale P. Shi et al. 10.1016/j.ejrh.2023.101628
- Correlation Analysis of Vertical Ground Movement and Climate Using Sentinel-1 InSAR F. Pirotti et al. 10.3390/rs16224123
- Forecasting land surface drought in urban environments based on machine learning model J. Chen & H. Zheng 10.1016/j.scs.2024.106048
- How abrupt changes in surface temperature impacts water cycle over France? The case study of winter bread wheat area. L. Laurent et al. 10.1016/j.totert.2023.100079
- Applying an Analytic Hierarchy Process and a Geographic Information System for Assessment of Land Subsidence Risk Due to Drought: A Case Study in Ca Mau Peninsula, Vietnam D. Tri et al. 10.3390/su16072920
- Machine learning-based techniques for land subsidence simulation in an urban area J. Liu et al. 10.1016/j.jenvman.2024.120078
- Development of Divergence and Interdependence-based Hybrid Weighting Scheme (DIHWS) for accurate assessment of regional drought A. Mukhtar et al. 10.1007/s00704-024-05018-1
- A novel clay shrink-swell buildings damage model: From unstructured insurance data to the creation of buildings database, and the proposition of damage severity scale N. Mzungu et al. 10.1016/j.ijdrr.2025.105636
- Regional climate warming increases occurrence and intensity of winter wheat drought risk L. Laurent et al. 10.1016/j.agrformet.2025.110493
- Assessing the economic impact of droughts in Europe in a changing climate: A multi-sectoral analysis at regional scale C. Motta et al. 10.1016/j.ejrh.2025.102296
- Land Subsidence Susceptibility Mapping Using Interferometric Synthetic Aperture Radar (InSAR) and Machine Learning Models in a Semiarid Region of Iran H. Gharechaee et al. 10.3390/land12040843
- Changing Conditions: Global Warming-Related Hazards and Vulnerable Rural Populations in Mediterranean Europe S. Graus et al. 10.3390/urbansci8020042
- A new approach for drought index adjustment to clay-shrinkage-induced subsidence over France: advantages of the interactive leaf area index S. Barthelemy et al. 10.5194/nhess-24-999-2024
- Forecasting the cost of drought events in France by Super Learning from a short time series of many slightly dependent data G. Ecoto et al. 10.1007/s00180-024-01549-3
2 citations as recorded by crossref.
- Application of machine learning methods to predict drought cost in France A. Heranval et al. 10.1007/s13385-022-00327-z
- Disentangling Shallow Subsidence Sources by Data Assimilation in a Reclaimed Urbanized Coastal Plain, South Flevoland Polder, the Netherlands M. Verberne et al. 10.1029/2022JF007031
Latest update: 30 Jun 2025
Short summary
Predicting consequences of drought episodes is complex, all the more when focusing on subsidence. We use 20 years of insurer data to derive a model to predict both the intensity and the severity of such events, using geophysical and climatic information located in space and time.
Predicting consequences of drought episodes is complex, all the more when focusing on...
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